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      "c:\\vnstudio\\lib\\site-packages\\plotly\\graph_objs\\_deprecations.py:40: DeprecationWarning:\n",
      "\n",
      "plotly.graph_objs.Data is deprecated.\n",
      "Please replace it with a list or tuple of instances of the following types\n",
      "  - plotly.graph_objs.Scatter\n",
      "  - plotly.graph_objs.Bar\n",
      "  - plotly.graph_objs.Area\n",
      "  - plotly.graph_objs.Histogram\n",
      "  - etc.\n",
      "\n",
      "\n",
      "c:\\vnstudio\\lib\\site-packages\\plotly\\tools.py:465: DeprecationWarning:\n",
      "\n",
      "plotly.tools.make_subplots is deprecated, please use plotly.subplots.make_subplots instead\n",
      "\n"
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   ],
   "source": [
    "import yfinance as yf\n",
    "import pandas_ta as ta\n",
    "from plotly.tools import *\n",
    "from matplotlib.pyplot import *\n",
    "\n",
    "\n",
    "# import pandas as pd\n",
    "# from pandas import DataFrame\n",
    "# import matplotlib.pyplot as plt\n",
    "# import matplotlib.dates as dates\n",
    "# from matplotlib.ticker import Formatter\n",
    "# import numpy as np\n",
    "\n",
    "import plotly.offline as of\n",
    "import plotly.graph_objs as go\n",
    "import plotly.subplots \n",
    "# of.offline.init_notebook_mode(connected=True)\n",
    "\n",
    "trace0 = go.Scatter(\n",
    "    x=[1, 2, 3, 4],\n",
    "    y=[10, 15, 13, 17],\n",
    "    mode='markers'\n",
    ")\n",
    "trace1 = go.Scatter(\n",
    "    x=[1, 2, 3, 4],\n",
    "    y=[16, 5, 11, 9]\n",
    ")\n",
    "data = go.Data([trace0, trace1])\n",
    "of.plot(data)\n",
    "\n",
    "# get ticker data\n",
    "df = yf.Ticker('BTC-USD').history(period='1y')[map(str.title, ['open', 'close', 'low', 'high', 'volume'])]\n",
    "\n",
    "# calculate MACD values\n",
    "df.ta.macd(close='close', fast=12, slow=26, append=True)\n",
    "\n",
    "# Force lowercase (optional)\n",
    "df.columns = [x.lower() for x in df.columns]\n",
    "\n",
    "# Construct a 2 x 1 Plotly figure\n",
    "fig = make_subplots(rows=2, cols=1)\n",
    "\n",
    "# price Line\n",
    "fig.append_trace(\n",
    "    go.Scatter(\n",
    "        x=df.index,\n",
    "        y=df['open'],\n",
    "        line=dict(color='#ff9900', width=1),\n",
    "        name='open',\n",
    "        # showlegend=False,\n",
    "        legendgroup='1',\n",
    "\n",
    "    ), row=1, col=1\n",
    ")\n",
    "\n",
    "# Candlestick chart for pricing\n",
    "fig.append_trace(\n",
    "    go.Candlestick(\n",
    "        x=df.index,\n",
    "        open=df['open'],\n",
    "        high=df['high'],\n",
    "        low=df['low'],\n",
    "        close=df['close'],\n",
    "        increasing_line_color='#ff9900',\n",
    "        decreasing_line_color='black',\n",
    "        showlegend=False\n",
    "\n",
    "    ), row=1, col=1\n",
    ")\n",
    "\n",
    "# Fast Signal (%k)\n",
    "fig.append_trace(\n",
    "    go.Scatter(\n",
    "        x=df.index,\n",
    "        y=df['macd_12_26_9'],\n",
    "        line=dict(color='#ff9900', width=2),\n",
    "        name='macd',\n",
    "        # showlegend=False,\n",
    "        legendgroup='2',\n",
    "\n",
    "    ), row=2, col=1\n",
    ")\n",
    "\n",
    "# Slow signal (%d)\n",
    "fig.append_trace(\n",
    "    go.Scatter(\n",
    "        x=df.index,\n",
    "        y=df['macds_12_26_9'],\n",
    "        line=dict(color='#000000', width=2),\n",
    "        # showlegend=False,\n",
    "        legendgroup='2',\n",
    "        name='signal'\n",
    "    ), row=2, col=1\n",
    ")\n",
    "\n",
    "# Colorize the histogram values\n",
    "colors = np.where(df['macdh_12_26_9'] < 0, '#000', '#ff9900')\n",
    "\n",
    "# Plot the histogram\n",
    "fig.append_trace(\n",
    "    go.Bar(\n",
    "        x=df.index,\n",
    "        y=df['macdh_12_26_9'],\n",
    "        name='histogram',\n",
    "        marker_color=colors,\n",
    "\n",
    "    ), row=2, col=1\n",
    ")\n",
    "\n",
    "# Make it pretty\n",
    "layout = go.Layout(\n",
    "    plot_bgcolor='#efefef',\n",
    "    # Font Families\n",
    "    font_family='Monospace',\n",
    "    font_color='#000000',\n",
    "    font_size=20,\n",
    "    xaxis=dict(\n",
    "        rangeslider=dict(\n",
    "            visible=False\n",
    "        )\n",
    "    )\n",
    ")\n",
    "\n",
    "# Update options and show plot\n",
    "fig.update_layout(layout)\n",
    "fig.show()"
   ]
  },
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